Senior Data Engineer - Cloud Data Warehouse Lead

KLS Martin Group

Jacksonville (FL)

On-site

USD 110,000 - 150,000

Full time

12 days ago
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Benefits offered by this job

Competitive benefits
Paid parental leave
In-house training
Innovation culture

Job summary

KLS Martin Group seeks a senior data engineer to design, implement, and optimize a scalable data warehouse and cloud analytics platform. You will develop dimensional models, manage ETL/ELT pipelines, and ensure governance, quality, and security across large datasets.

The ideal candidate has strong SQL skills, hands-on cloud data platform experience (AWS/GCP/Azure), and the ability to collaborate with analysts and software teams to enable data-driven decisions.

Qualifications

  • Bachelor’s degree in a relevant field with 6+ years in data analytics/engineering.
  • Strong SQL, data modeling (star/snowflake), and BI readiness.
  • Hands-on ETL/ELT with cloud data warehouse experience.
  • Proven ability to govern data, RBAC, and security practices.

Responsibilities

  • Lead design and implementation of scalable data warehouses.
  • Develop dimensional models and robust data pipelines.
  • Build and optimize ETL/ELT processes for large datasets.
  • Establish data governance, quality, and security standards.
  • Collaborate with stakeholders and cross-functional teams.

Skills

SQL
Data modeling
ETL/ELT
Cloud data platforms
Python/Scala
Data governance

Education

Bachelor’s degree in data analytics, computer science, or related field

Tools

dbt
Informatica
Talend
Apache Airflow
Snowflake / Redshift / BigQuery

Job description

KLS Martin Group seeks a senior data engineer to design, implement, and optimize a scalable data warehouse and cloud analytics platform. You will develop dimensional models, manage ETL/ELT pipelines, and ensure governance, quality, and security across large datasets.

The ideal candidate has strong SQL skills, hands-on cloud data platform experience (AWS/GCP/Azure), and the ability to collaborate with analysts and software teams to enable data-driven decisions.

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